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In their proposed model, the sensing task is supervised by the network, i.e., by giving the intelligent sensing matrix to the CR.
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Very low loss current sensing can be derived based on the fitted model, the sensed temperature and voltage across the drain and source of the MOSFET.
For the random direction model, the sense field is 3 km by 3 km.
Although all the nodes have been the same rated sensor range R0 in the binary sensing model, the actual sensing range would still be affected by the characteristics of the nodes and the environment.
First, we consider a deterministic (or disk) sensing model, where the sensing range is modeled as a disk.
A comparison of the analytical predictions and the experimental data showed that the proposed model captures the sensing behavior.
In standard mathematical terms, the list medium must provide a mathematical model (in the sense of model theory, W. Hodges 2013) of the set axioms.
In this study, Method 4 was implemented as a pure simulation model, in the sense that all parameters except for residual variability were fixed using previously published data.
In Section 'Sensing model', we present the sensing model.
In the work, we model the spectrum sensing window optimization problem as a convex optimization problem.
Based on the dynamic state-space model, the spectrum sensing problem is formulated as blind estimation problem.
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